| name | explain-diff-html |
|---|---|
| description | Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output. |
Please make me a rich, interactive explanation of the specified code change.
It should have these sections:
A reusable annotated type for FastAPI that accepts hello,world,etc as a
query parameter and automatically parses it into a typed list —
list[str], list[int], list[UUID], etc. — using a PEP 695 type alias
and a Pydantic BeforeValidator.
Query parameters arrive as plain strings, so a list[T] annotation doesn't
| --- | |
| name: cowork | |
| description: 在 Herdr App 中以 Commander 身份运转一个 Agent 团队:用 hc CLI 在持久终端里启动、委派、跟踪和清理成员 Agent,维护仓库的 TEAM.md 注册表与通讯录,用 herdr-app 管理界面 tab。当用户要求协调多个 Agent、委派开发/训练/评测/构建任务、组建或接管 Agent 团队、维护 TEAM.md 时使用。 | |
| version: 1.1.0 | |
| allowed-tools: | |
| - Bash(hc *) | |
| - Bash(herdr-app *) | |
| --- | |
| # Cowork:Herdr App 中的 Agent 团队 |
Paste the 123pan.com/s/… link (and its code, if any) → see the real size and price → get a direct download link. In short: a 123pan downloader that needs nothing from you. No 123pan account, no +86 number, no 123pan app, no monthly quota. Files under 150 MB are free.
🎬 One-minute video of the whole thing, start to finish: https://www.youtube.com/watch?v=tU4G1nz6WsU
Full disclosure: BaiduFast is my own service. It fetches the file for you at full speed and hands you a plain HTTPS link. This page is a how-to, not an independent review.
Paste the pan.quark.cn/s/… link (and its code, if any) → see the real size and price → get a direct download link. No Quark account, no +86 number, no Quark app. Files under 150 MB are free.
Full disclosure: BaiduFast is my own service. It fetches the file for you at full speed and hands you a plain HTTPS link. This page is a how-to, not an independent review.
TL;DR: pan.baidu.com (Baidu Pan, Baidu Netdisk, 百度网盘) will not let you download anything without a logged-in Baidu account, and a Baidu account needs a mainland Chinese phone number. The working route in 2026 is a link-to-download service: paste the share link plus its extraction code on baidufast.com, check the real size and price, and receive a normal HTTPS download link. Files up to 150 MB are free; larger files start at $0.98.
Disclosure: BaiduFast is my own service. I run it, so this is a how-to written by the operator, not an independent review. Everything about Baidu itself below is public and checkable.
| #include <Windows.h> | |
| #include <stdio.h> | |
| #include <winternl.h> | |
| typedef struct _BEEP_SETTINGS { | |
| ULONG ulFrequency; | |
| ULONG ulDuration; | |
| } BEEP_SETTINGS; | |
| void main() { |
| // Copyright (c) 2015-2021, bacondither | |
| // All rights reserved. | |
| // | |
| // Redistribution and use in source and binary forms, with or without | |
| // modification, are permitted provided that the following conditions | |
| // are met: | |
| // 1. Redistributions of source code must retain the above copyright | |
| // notice, this list of conditions and the following disclaimer | |
| // in this position and unchanged. | |
| // 2. Redistributions in binary form must reproduce the above copyright |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.